Aim: Prevention of heart failure (HF) hospitalisations and deaths constitutes a major therapeutic aim in patients with HF. The role of telemedicine in this context remains equivocal. We investigated whether an outpatient telecare based on nurse‐led non‐invasive assessments supporting remote therapeutic decisions (AMULET telecare) could improve clinical outcomes in patients after an episode of acute HF during 12‐month follow‐up. Methods and results: In this prospective randomised controlled trial, patients with HF and left ventricular ejection fraction (LVEF) ≤49%, after an episode of acute HF within the last 6 months, were randomly assigned to receive either an outpatient telecare based on nurse‐led non‐invasive assessments ( n = 300) (AMULET model) or standard care ( n = 305). The primary composite outcome of unplanned HF hospitalisation or cardiovascular death occurred in 51 (17.1%) patients in the telecare group and 73 (23.9%) patients in the standard care group up to 12 months after randomization [hazard ratio (HR) 0.69, 95% confidence interval (CI) 0.48–0.99; P = 0.044]. The implementation of AMULET telecare, as compared to standard care, reduced the risk of first unplanned HF hospitalisation (HR 0.62, 95% CI 0.42–0.91; P = 0.015) as well as the risk of total unplanned HF hospitalisations (HR 0.64, 95% CI 0.41–0.99; P = 0.044).There was no difference in cardiovascular mortality between the study groups (HR 1.03, 95% CI 0.54–1.67; P = 0.930). Conclusions: AMULET telecare as compared to standard care significantly reduced the risk of HF hospitalisation or cardiovascular death during 12‐month follow‐up among patients with HF and LVEF ≤49% after an episode of acute HF.

Aims: Transoesophageal echocardiography (TOE) is often performed before catheter ablation or cardioversion to rule out the presence of left atrial appendage thrombus (LAT) in patients on chronic oral anticoagulation (OAC), despite associated discomfort. A machine learning model [LAT-artificial intelligence (AI)] was developed to predict the presence of LAT based on clinical and transthoracic echocardiography (TTE) features. Methods and results: Data from a 13-site prospective registry of patients who underwent TOE before cardioversion or catheter ablation were used. LAT-AI was trained to predict LAT using data from 12 sites (n = 2827) and tested externally in patients on chronic OAC from two sites (n = 1284). Areas under the receiver operating characteristic curve (AUC) of LAT-AI were compared with that of left ventricular ejection fraction (LVEF) and CHA2DS2-VASc score. A decision threshold allowing for a 99% negative predictive value was defined in the development cohort. A protocol where TOE in patients on chronic OAC is performed depending on the LAT-AI score was validated in the external cohort. In the external testing cohort, LAT was found in 5.5% of patients. LAT-AI achieved an AUC of 0.85 [95% confidence interval (CI): 0.82–0.89], outperforming LVEF (0.81, 95% CI 0.76–0.86, P < .0001) and CHA2DS2-VASc score (0.69, 95% CI: 0.63–0.7, P < .0001) in the entire external cohort. Based on the proposed protocol, 40% of patients on chronic OAC from the external cohort would safely avoid TOE. Conclusion: LAT-AI allows accurate prediction of LAT. A LAT-AI-based protocol could be used to guide the decision to perform TOE despite chronic OAC.

Background:Arterial hypertension might be caused by hemodynamic disturbances such as fluid retention, increased vascular resistance, and hyperdynamic function of the heart. The aim of this study was to estimate the effectiveness of antihypertensive t...

Multivessel coronary artery disease (MVCAD) is found in approximately 50% of patients with acute myocardial infarction (AMI) undergoing percutaneous coronary intervention (PCI). Although we have data showing the benefits of revascularization of significant non-culprit coronary lesions in patients with AMI, the optimal timing of angioplasty remains unclear. The most common reason for postponing subsequent percutaneous treatment is the fear of contrast-induced acute kidney injury (CI-AKI). Acute kidney injury (AKI) is common in patients with AMI undergoing PCI, and its etiology appears to be complex and incompletely understood. In this review, we discuss the definition, pathophysiology and risk factors of AKI in patients with AMI undergoing PCI. We present the impact of AKI on the course of hospitalization and distant prognosis of patients with AMI. Special attention was paid to the phenomenon of AKI in patients undergoing multivessel revascularization. We analyze the correlation between increased exposure to contrast medium (CM) and the risk of AKI in patients with AMI to provide information useful in the decision-making process about the optimal timing of revascularization of non-culprit lesions. In addition, we present diagnostic tools in the form of new biomarkers of AKI and discuss ways to prevent and mitigate the course of AKI.

DOI: 10.33963/KP.15824, Published online: February 24, 2021, Authors: Ryszard Piotrowicz^1,2, Paweł Krzesiński³, Paweł Balsam⁴, Ewa Piotrowicz⁵, Maciej Kempa⁶, Ewa Lewicka⁶, Renata Główczyńska⁴, Marcin Grabowski⁴, Łukasz Kołtowski⁴, Michał Peller⁴, Bartosz Szafran⁷, Justyna Zajdel-Całkowska⁸, Jan Pachocki⁹, Jakub Podolec^10,11, Adam Stańczyk^12,13, Grzegorz Opolski⁴